Olaitan Igbagbo Awe

EMImR identifies differentially expressed genes, methylated genes, and miRNAs, and correlates transcriptomic and epigenomic changes using a Shiny application.

rhinotypeR provides an R package for Rhinovirus genotyping using the VP4/2 region, automating sequence comparison and offering tools for analysis and visualization.

NeuroVar visualizes genetic variation and gene expression data for neurological disease biomarkers using a Shiny application and desktop tool.

This study uses metagenomics to analyze antimicrobial resistance genes in cattle from Kenya, Uganda, and Tanzania, revealing widespread resistance genes including those for last-resort antibiotics.

This study identifies differentially expressed genes and miRNAs in MS stages and their regulatory interactions to uncover potential biomarkers for RRMS and SPMS.

This study identifies four potential CDK1 inhibitors through molecular docking and dynamics simulations for colorectal cancer treatment.

This study identifies miRNA-mRNA regulatory interactions in epilepsy using multi-omics data from six studies, revealing potential biomarkers like hsa-miR-27a-3p and target genes CABP1, SLC20A1, and SLC35G1.

The paper compares ACE2 gene expression between African-American and non-African-American COVID-19 patients, finding downregulation in African-Americans associated with lower disease severity.

The paper develops a CNN-LSTM model to classify SARS-CoV-2 variants from spike gene sequences, achieving high accuracy and detecting variants that nextclade missed.

This study integrates multi-omics data to identify potential biomarkers for prostate cancer by analyzing genomic, transcriptomic, and metabolomic datasets from diverse populations.

The paper analyzes RNA-seq data from children with malaria and COVID-19 to identify differentially expressed genes and potential biomarkers distinguishing the two infections.

This study analyzes HIV-1 genetic diversity in Sub-Saharan African countries using whole-genome sequences to identify subtype-specific polymorphisms and cross-border genetic exchange.

GeneHummus is an R-based pipeline for automated gene family identification and expression analysis in plants, reducing manual effort while maintaining accuracy.